A reversible photoelectrochemical microsensor for dynamically monitoring sulfur dioxide in the epileptic brain.
Danying LinTao LuXiao WangXiaoxue YeZhihong LiuPublished in: Chemical science (2024)
Epilepsy is considered one of the most prevalent neurological disorders, yet the precise mechanisms underlying its pathogenesis remain inadequately elucidated. Emerging evidence implicates endogenous sulfur dioxide (SO 2 ) in the brain as playing a significant role in epilepsy and associated neuronal apoptosis. Consequently, tracking the dynamic fluctuations in the levels of SO 2 and its derivatives (SO 3 2- /HSO 3 - ) provides valuable insights into the molecular mechanisms underlying epilepsy, with potential implications for its diagnosis and therapeutic intervention. Nonetheless, the absence of reversible in vivo detection tools constitutes a formidable obstacle in the real-time monitoring of SO 2 dynamics in the brain. In response to this challenge, we propose a novel approach involving a photoelectrochemical (PEC) microsensor capable of reversibly detecting SO 2 . This microsensor leverages a reversibly recognizing dye for SO 2 and upconversion nanoparticles as the modulator of the excitation source for the photoactive material, enabling modulation of the photocurrent by the target. The reversible output of PEC signals allows for the monitoring of SO 2 levels in real time in the brains of epileptic mice. This study reveals the patterns of SO 2 level changes during epilepsy and provides insights into the neuroprotective mechanism of exogenous SO 2 .
Keyphrases
- cerebral ischemia
- resting state
- white matter
- label free
- functional connectivity
- subarachnoid hemorrhage
- randomized controlled trial
- quantum dots
- brain injury
- oxidative stress
- photodynamic therapy
- cell death
- blood brain barrier
- multiple sclerosis
- sensitive detection
- visible light
- adipose tissue
- climate change
- risk assessment
- insulin resistance
- cell cycle arrest
- high fat diet induced
- metabolic syndrome
- real time pcr